
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase    :   Optional[Any]						=			logging.get_logger(__name__)

lowercase    :   Union[str, Any]						=			{
    'RWKV/rwkv-4-169m-pile': 'https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json',
    'RWKV/rwkv-4-430m-pile': 'https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json',
    'RWKV/rwkv-4-1b5-pile': 'https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json',
    'RWKV/rwkv-4-3b-pile': 'https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json',
    'RWKV/rwkv-4-7b-pile': 'https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json',
    'RWKV/rwkv-4-14b-pile': 'https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json',
    'RWKV/rwkv-raven-1b5': 'https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json',
    'RWKV/rwkv-raven-3b': 'https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json',
    'RWKV/rwkv-raven-7b': 'https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json',
    'RWKV/rwkv-raven-14b': 'https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json',
}




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	_A								=	'rwkv'
	_A								=	{'max_position_embeddings': 'context_length'}







	def __init__(   self						:Union[str, Any]	,  a						:List[str]=5_0_2_7_7	,  a						:Optional[Any]=1_0_2_4	,  a						:int=4_0_9_6	,  a						:Tuple=3_2	,  a						:Dict=None	,  a						:Optional[int]=None	,  a						:Union[str, Any]=1E-5	,  a						:Tuple=0	,  a						:int=0	,  a						:Union[str, Any]=6	,  a						:str=False	,  a						:int=True	,  **a						:str	,  )						->					List[Any]:
								__UpperCamelCase      :  Optional[int]       =   vocab_size
								__UpperCamelCase      :  List[str]       =   context_length
								__UpperCamelCase      :  Optional[int]       =   hidden_size
								__UpperCamelCase      :  Dict       =   num_hidden_layers
								__UpperCamelCase      :  Optional[int]       =   attention_hidden_size if attention_hidden_size is not None else hidden_size
								__UpperCamelCase      :  Tuple       =   intermediate_size if intermediate_size is not None else 4 * hidden_size
								__UpperCamelCase      :  int       =   layer_norm_epsilon
								__UpperCamelCase      :  List[str]       =   rescale_every
								__UpperCamelCase      :  Any       =   use_cache

								__UpperCamelCase      :  Tuple       =   bos_token_id
								__UpperCamelCase      :  Dict       =   eos_token_id

								super().__init__(
								    tie_word_embeddings=a	,  bos_token_id=a	,  eos_token_id=a	,  **a		)

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_fnet import FNetTokenizer
else:
		lowercase    :   List[Any]						=			None

lowercase    :   Tuple						=			logging.get_logger(__name__)
lowercase    :   Optional[Any]						=			{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowercase    :   str						=			{
    'vocab_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/spiece.model',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json',
    },
}

lowercase    :   int						=			{
    'google/fnet-base': 512,
    'google/fnet-large': 512,
}

lowercase    :   str						=			'▁'




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	_A								=	VOCAB_FILES_NAMES
	_A								=	PRETRAINED_VOCAB_FILES_MAP
	_A								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_A								=	['input_ids', 'token_type_ids']
	_A								=	FNetTokenizer







	def __init__(   self						:Optional[int]	,  a						:Union[str, Any]=None	,  a						:Optional[int]=None	,  a						:str=False	,  a						:Tuple=True	,  a						:Optional[Any]=True	,  a						:Optional[int]="<unk>"	,  a						:List[str]="[SEP]"	,  a						:Optional[Any]="<pad>"	,  a						:int="[CLS]"	,  a						:Dict="[MASK]"	,  **a						:Optional[int]	,  )						->					List[str]:
								# Mask token behave like a normal word, i.e. include the space before it and
								# is included in the raw text, there should be a match in a non-normalized sentence.
								__UpperCamelCase      :  List[Any]       =   (
								    AddedToken(a	,  lstrip=a	,  rstrip=a	,  normalized=a		)
								    if isinstance(a	,  a		)
								    else mask_token
								)

								super().__init__(
								    a	,  tokenizer_file=a	,  do_lower_case=a	,  remove_space=a	,  keep_accents=a	,  unk_token=a	,  sep_token=a	,  pad_token=a	,  cls_token=a	,  mask_token=a	,  **a	,  )

								__UpperCamelCase      :  List[Any]       =   do_lower_case
								__UpperCamelCase      :  str       =   remove_space
								__UpperCamelCase      :  Dict       =   keep_accents
								__UpperCamelCase      :  Union[str, Any]       =   vocab_file
								__UpperCamelCase      :  List[str]       =   False if not self.vocab_file else True







	def   _lowerCamelCase							(   self						:Dict	,  a						:List[int]	,  a						:Optional[List[int]] = None		)						->					List[int]:
								__UpperCamelCase      :  List[str]       =   [self.sep_token_id]
								__UpperCamelCase      :  List[str]       =   [self.cls_token_id]
								if token_ids_a is None:
															return cls + token_ids_a + sep
								return cls + token_ids_a + sep + token_ids_a + sep







	def   _lowerCamelCase							(   self						:Union[str, Any]	,  a						:List[int]	,  a						:Optional[List[int]] = None		)						->					List[int]:
								__UpperCamelCase      :  List[Any]       =   [self.sep_token_id]
								__UpperCamelCase      :  List[Any]       =   [self.cls_token_id]

								if token_ids_a is None:
															return len(cls + token_ids_a + sep		) * [0]
								return len(cls + token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]







	def   _lowerCamelCase							(   self						:int	,  a						:str	,  a						:Optional[str] = None		)						->					Tuple[str]:
								if not os.path.isdir(a		):
															logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
															return
								__UpperCamelCase      :  str       =   os.path.join(
								    a	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

								if os.path.abspath(self.vocab_file		) != os.path.abspath(a		):
															copyfile(self.vocab_file	,  a		)

								return (out_vocab_file,)